The development of compounds able to modify biological functions largely took advantage of parallel synthesis to generate a broad chemical variance of compounds to be tested for the desired effect(s). The budding yeast Saccharomyces cerevisiae is a model for pharmacological studies since a long time as it represents a relatively simple system to explore the relations among chemical variance and bioactivity. To identify relations between the chemical features of the molecules and their activity, we delved into the effects of a library of small compounds on the viability of a set of S. cerevisiae strains. Thanks to the high degree of chemical diversity of the tested compounds and to the measured effect on the yeast growth rate, we were able to scale-down the chemical library and to gain information on the most effective structures at the substituent level. Our results represent a valuable source for the selection, rational design, and optimization of bioactive compounds.

Relations between effects and structure of small bicyclic molecules on the complex model system Saccharomyces cerevisiae

Stefanini I.
Last
2017-01-01

Abstract

The development of compounds able to modify biological functions largely took advantage of parallel synthesis to generate a broad chemical variance of compounds to be tested for the desired effect(s). The budding yeast Saccharomyces cerevisiae is a model for pharmacological studies since a long time as it represents a relatively simple system to explore the relations among chemical variance and bioactivity. To identify relations between the chemical features of the molecules and their activity, we delved into the effects of a library of small compounds on the viability of a set of S. cerevisiae strains. Thanks to the high degree of chemical diversity of the tested compounds and to the measured effect on the yeast growth rate, we were able to scale-down the chemical library and to gain information on the most effective structures at the substituent level. Our results represent a valuable source for the selection, rational design, and optimization of bioactive compounds.
2017
8
170
1
9
http://journal.frontiersin.org/article/10.3389/fphar.2017.00170/full
Drug development; Drug screening; High-throughput screening (HTS); Phenotypic screening; Principal component analysis; Saccharomyces cerevisiae; Small compounds; Stepwise regression analysis
Brilli M.; Trabocchi A.; Weil T.; Cavalieri D.; Stefanini I.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1715233
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